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2020 – today
- 2020
[j6]Yunpeng Pan
, Ching-An Cheng, Kamil Saigol, Keuntaek Lee, Xinyan Yan, Evangelos A. Theodorou, Byron Boots:
Imitation learning for agile autonomous driving. Int. J. Robotics Res. 39(2-3) (2020)- [j5]Adam Foris, Nolan Wagener, Byron Boots, Anirban Mazumdar:
Exploiting Singular Configurations for Controllable, Low-Power Friction Enhancement on Unmanned Ground Vehicles. IEEE Robotics Autom. Lett. 5(2): 3556-3563 (2020) - [c82]Ching-An Cheng, Jonathan Lee, Ken Goldberg, Byron Boots:
Online Learning with Continuous Variations: Dynamic Regret and Reductions. AISTATS 2020: 2218-2228 - [c81]Ching-An Cheng, Remi Tachet des Combes, Byron Boots, Geoffrey J. Gordon:
A Reduction from Reinforcement Learning to No-Regret Online Learning. AISTATS 2020: 3514-3524 - [c80]Sandesh Adhikary, Siddarth Srinivasan, Geoffrey J. Gordon, Byron Boots:
Expressiveness and Learning of Hidden Quantum Markov Models. AISTATS 2020: 4151-4161 - [c79]Ahmed H. Qureshi, Jacob J. Johnson, Yuzhe Qin, Taylor Henderson, Byron Boots, Michael C. Yip:
Composing Task-Agnostic Policies with Deep Reinforcement Learning. ICLR 2020 - [c78]Ajay Mandlekar, Fabio Ramos, Byron Boots, Silvio Savarese, Fei-Fei Li, Animesh Garg, Dieter Fox:
IRIS: Implicit Reinforcement without Interaction at Scale for Learning Control from Offline Robot Manipulation Data. ICRA 2020: 4414-4420 - [c77]Mohak Bhardwaj, Byron Boots, Mustafa Mukadam:
Differentiable Gaussian Process Motion Planning. ICRA 2020: 10598-10604 - [i66]Mohak Bhardwaj, Ankur Handa, Dieter Fox, Byron Boots:
Information Theoretic Model Predictive Q-Learning. CoRR abs/2001.02153 (2020) - [i65]Amir Rahimi, Amirreza Shaban, Ching-An Cheng, Byron Boots, Richard Hartley:
Intra Order-preserving Functions for Calibration of Multi-Class Neural Networks. CoRR abs/2003.06820 (2020) - [i64]Amir Rahimi, Amirreza Shaban, Thalaiyasingam Ajanthan, Richard Hartley, Byron Boots:
In Defense of Graph Inference Algorithms for Weakly Supervised Object Localization. CoRR abs/2003.08375 (2020) - [i63]Muhammad Asif Rana, Anqi Li, Dieter Fox, Byron Boots, Fabio Ramos, Nathan D. Ratliff:
Euclideanizing Flows: Diffeomorphic Reduction for Learning Stable Dynamical Systems. CoRR abs/2005.13143 (2020) - [i62]Xinyan Yan, Byron Boots, Ching-An Cheng:
Explaining Fast Improvement in Online Policy Optimization. CoRR abs/2007.02520 (2020) - [i61]Ching-An Cheng, Mustafa Mukadam, Jan Issac, Stan Birchfield, Dieter Fox, Byron Boots, Nathan D. Ratliff:
RMPflow: A Geometric Framework for Generation of Multi-Task Motion Policies. CoRR abs/2007.14256 (2020) - [i60]Xingye Da, Zhaoming Xie, David Hoeller, Byron Boots, Animashree Anandkumar, Yuke Zhu, Buck Babich, Animesh Garg:
Learning a Contact-Adaptive Controller for Robust, Efficient Legged Locomotion. CoRR abs/2009.10019 (2020) - [i59]Siddarth Srinivasan, Sandesh Adhikary, Jacob Miller, Guillaume Rabusseau, Byron Boots:
Quantum Tensor Networks, Stochastic Processes, and Weighted Automata. CoRR abs/2010.10653 (2020)
2010 – 2019
- 2019
- [j4]Mustafa Mukadam, Jing Dong, Frank Dellaert, Byron Boots:
STEAP: simultaneous trajectory estimation and planning. Auton. Robots 43(2): 415-434 (2019) - [c76]Amirreza Shaban, Ching-An Cheng, Nathan Hatch, Byron Boots:
Truncated Back-propagation for Bilevel Optimization. AISTATS 2019: 1723-1732 - [c75]Ching-An Cheng, Xinyan Yan, Evangelos A. Theodorou, Byron Boots:
Accelerating Imitation Learning with Predictive Models. AISTATS 2019: 3187-3196 - [c74]Anqi Li, Ching-An Cheng, Byron Boots, Magnus Egerstedt:
Stable, Concurrent Controller Composition for Multi-Objective Robotic Tasks. CDC 2019: 1144-1151 - [c73]Mustafa Mukadam, Ching-An Cheng, Dieter Fox, Byron Boots, Nathan D. Ratliff:
Riemannian Motion Policy Fusion through Learnable Lyapunov Function Reshaping. CoRL 2019: 204-219 - [c72]Ching-An Cheng, Xinyan Yan, Byron Boots:
Trajectory-wise Control Variates for Variance Reduction in Policy Gradient Methods. CoRL 2019: 1379-1394 - [c71]Muhammad Asif Rana, Anqi Li, Harish Ravichandar, Mustafa Mukadam, Sonia Chernova, Dieter Fox, Byron Boots, Nathan D. Ratliff:
Learning Reactive Motion Policies in Multiple Task Spaces from Human Demonstrations. CoRL 2019: 1457-1468 - [c70]Amirreza Shaban, Amir Rahimi, Shray Bansal, Stephen Gould, Byron Boots, Richard Hartley:
Learning to Find Common Objects Across Few Image Collections. ICCV 2019: 5116-5125 - [c69]Ahmed H. Qureshi, Byron Boots, Michael C. Yip:
Adversarial Imitation via Variational Inverse Reinforcement Learning. ICLR (Poster) 2019 - [c68]Ching-An Cheng, Xinyan Yan, Nathan D. Ratliff, Byron Boots:
Predictor-Corrector Policy Optimization. ICML 2019: 1151-1161 - [c67]Wen Sun, Anirudh Vemula, Byron Boots, Drew Bagnell:
Provably Efficient Imitation Learning from Observation Alone. ICML 2019: 6036-6045 - [c66]Alexander Sasha Lambert, Mustafa Mukadam, Balakumar Sundaralingam, Nathan D. Ratliff, Byron Boots, Dieter Fox:
Joint Inference of Kinematic and Force Trajectories with Visuo-Tactile Sensing. ICRA 2019: 3165-3171 - [c65]Balakumar Sundaralingam, Alexander Sasha Lambert, Ankur Handa, Byron Boots, Tucker Hermans, Stan Birchfield, Nathan D. Ratliff, Dieter Fox:
Robust Learning of Tactile Force Estimation through Robot Interaction. ICRA 2019: 9035-9042 - [c64]Keshav Kolur, Sahit Chintalapudi, Byron Boots, Mustafa Mukadam:
Online Motion Planning Over Multiple Homotopy Classes with Gaussian Process Inference. IROS 2019: 2358-2364 - [c63]Mohak Bhardwaj, Sanjiban Choudhury, Byron Boots, Siddhartha S. Srinivasa:
Leveraging Experience in Lazy Search. Robotics: Science and Systems 2019 - [c62]Nolan Wagener, Ching-An Cheng, Jacob Sacks, Byron Boots:
An Online Learning Approach to Model Predictive Control. Robotics: Science and Systems 2019 - [i58]Anqi Li, Mustafa Mukadam, Magnus Egerstedt, Byron Boots:
Multi-Objective Policy Generation for Multi-Robot Systems Using Riemannian Motion Policies. CoRR abs/1902.05177 (2019) - [i57]Ching-An Cheng, Jonathan Lee, Ken Goldberg, Byron Boots:
Online Learning with Continuous Variations: Dynamic Regret and Reductions. CoRR abs/1902.07286 (2019) - [i56]Nolan Wagener, Ching-An Cheng, Jacob Sacks, Byron Boots:
An Online Learning Approach to Model Predictive Control. CoRR abs/1902.08967 (2019) - [i55]Alexander Lambert, Mustafa Mukadam, Balakumar Sundaralingam, Nathan D. Ratliff, Byron Boots, Dieter Fox:
Joint Inference of Kinematic and Force Trajectories with Visuo-Tactile Sensing. CoRR abs/1903.03699 (2019) - [i54]Sandesh Adhikary, Siddarth Srinivasan, Byron Boots:
Learning Quantum Graphical Models using Constrained Gradient Descent on the Stiefel Manifold. CoRR abs/1903.03730 (2019) - [i53]Anqi Li, Ching-An Cheng, Byron Boots, Magnus Egerstedt:
Stable, Concurrent Controller Composition for Multi-Objective Robotic Tasks. CoRR abs/1903.12605 (2019) - [i52]Amirreza Shaban, Amir Rahimi, Stephen Gould, Byron Boots, Richard I. Hartley:
Learning to Find Common Objects Across Image Collections. CoRR abs/1904.12936 (2019) - [i51]Ahmed H. Qureshi, Jacob J. Johnson, Yuzhe Qin, Byron Boots, Michael C. Yip:
Composing Ensembles of Policies with Deep Reinforcement Learning. CoRR abs/1905.10681 (2019) - [i50]Wen Sun, Anirudh Vemula, Byron Boots, J. Andrew Bagnell:
Provably Efficient Imitation Learning from Observation Alone. CoRR abs/1905.10948 (2019) - [i49]Mohak Bhardwaj, Sanjiban Choudhury, Byron Boots, Siddhartha S. Srinivasa:
Leveraging Experience in Lazy Search. CoRR abs/1907.07238 (2019) - [i48]Mohak Bhardwaj, Byron Boots, Mustafa Mukadam:
Differentiable Gaussian Process Motion Planning. CoRR abs/1907.09591 (2019) - [i47]Keshav Kolur, Sahit Chintalapudi, Byron Boots, Mustafa Mukadam:
Online Motion Planning Over Multiple Homotopy Classes with Gaussian Process Inference. CoRR abs/1908.00641 (2019) - [i46]Ching-An Cheng, Xinyan Yan, Byron Boots:
Trajectory-wise Control Variates for Variance Reduction in Policy Gradient Methods. CoRR abs/1908.03263 (2019) - [i45]Mustafa Mukadam, Ching-An Cheng, Dieter Fox, Byron Boots, Nathan D. Ratliff:
Riemannian Motion Policy Fusion through Learnable Lyapunov Function Reshaping. CoRR abs/1910.02646 (2019) - [i44]Ajay Mandlekar, Fabio Ramos, Byron Boots, Fei-Fei Li, Animesh Garg, Dieter Fox:
IRIS: Implicit Reinforcement without Interaction at Scale for Learning Control from Offline Robot Manipulation Data. CoRR abs/1911.05321 (2019) - [i43]Ching-An Cheng, Remi Tachet des Combes, Byron Boots, Geoffrey J. Gordon:
A Reduction from Reinforcement Learning to No-Regret Online Learning. CoRR abs/1911.05873 (2019) - [i42]Jonathan Lee, Ching-An Cheng, Ken Goldberg, Byron Boots:
Continuous Online Learning and New Insights to Online Imitation Learning. CoRR abs/1912.01261 (2019) - [i41]Sandesh Adhikary, Siddarth Srinivasan, Geoffrey J. Gordon, Byron Boots:
Expressiveness and Learning of Hidden Quantum Markov Models. CoRR abs/1912.02098 (2019) - 2018
- [j3]Mustafa Mukadam, Jing Dong, Xinyan Yan, Frank Dellaert, Byron Boots:
Continuous-time Gaussian process motion planning via probabilistic inference. Int. J. Robotics Res. 37(11) (2018) - [c61]Jing Dong, Byron Boots, Frank Dellaert, Ranveer Chandra, Sudipta N. Sinha:
Learning to Align Images Using Weak Geometric Supervision. 3DV 2018: 700-709 - [c60]Ching-An Cheng, Byron Boots:
Convergence of Value Aggregation for Imitation Learning. AISTATS 2018: 1801-1809 - [c59]Siddarth Srinivasan, Geoffrey J. Gordon, Byron Boots:
Learning Hidden Quantum Markov Models. AISTATS 2018: 1979-1987 - [c58]Joris Guérin, Byron Boots:
Improving Image Clustering With Multiple Pretrained CNN Feature Extractors. BMVC 2018: 51 - [c57]Wen Sun, J. Andrew Bagnell, Byron Boots:
Truncated horizon Policy Search: Combining Reinforcement Learning & Imitation Learning. ICLR (Poster) 2018 - [c56]Krzysztof Choromanski, Carlton Downey, Byron Boots:
Initialization matters: Orthogonal Predictive State Recurrent Neural Networks. ICLR (Poster) 2018 - [c55]Jennifer L. Molnar, Ching-An Cheng, Lucas O. Tiziani, Byron Boots, Frank L. Hammond:
Optical Sensing and Control Methods for Soft Pneumatically Actuated Robotic Manipulators. ICRA 2018: 1-8 - [c54]Alexander Lambert, Amirreza Shaban, Amit Raj, Zhen Liu, Byron Boots:
Deep Forward and Inverse Perceptual Models for Tracking and Prediction. ICRA 2018: 675-682 - [c53]Jing Dong, Mustafa Mukadam, Byron Boots, Frank Dellaert:
Sparse Gaussian Processes on Matrix Lie Groups: A Unified Framework for Optimizing Continuous-Time Trajectories. ICRA 2018: 6497-6504 - [c52]Joris Guérin, Olivier Gibaru, Eric Nyiri, Stéphane Thiery, Byron Boots:
Semantically Meaningful View Selection. IROS 2018: 1061-1066 - [c51]Muhammad Asif Rana, Mustafa Mukadam, Seyed Reza Ahmadzadeh, Sonia Chernova, Byron Boots:
Learning Generalizable Robot Skills from Demonstrations in Cluttered Environments. IROS 2018: 4655-4660 - [c50]Munzir Zafar, Areeb Mehmood, Mouhyemen Khan, Shimin Zhang, Muhammad Murtaza, Victor Aladele, Evangelos A. Theodorou, Seth Hutchinson, Byron Boots:
Semi-parametric Approaches to Learning in Model-Based Hierarchical Control of Complex Systems. ISER 2018: 387-397 - [c49]Wen Sun, Geoffrey J. Gordon, Byron Boots, J. Andrew Bagnell:
Dual Policy Iteration. NeurIPS 2018: 7059-7069 - [c48]Brandon Amos, Ivan Dario Jimenez Rodriguez, Jacob Sacks, Byron Boots, J. Zico Kolter:
Differentiable MPC for End-to-end Planning and Control. NeurIPS 2018: 8299-8310 - [c47]Hugh Salimbeni, Ching-An Cheng, Byron Boots, Marc Peter Deisenroth:
Orthogonally Decoupled Variational Gaussian Processes. NeurIPS 2018: 8725-8734 - [c46]Siddarth Srinivasan, Carlton Downey, Byron Boots:
Learning and Inference in Hilbert Space with Quantum Graphical Models. NeurIPS 2018: 10359-10368 - [c45]Yunpeng Pan, Ching-An Cheng, Kamil Saigol, Keuntaek Lee, Xinyan Yan, Evangelos A. Theodorou, Byron Boots:
Agile Autonomous Driving using End-to-End Deep Imitation Learning. Robotics: Science and Systems 2018 - [c44]Krzysztof Choromanski, Vikas Sindhwani, Brandon Jones, Damien Jourdan, Maciej Chociej, Byron Boots:
Learning-based Air Data System for Safe and Efficient Control of Fixed-wing Aerial Vehicles. SSRR 2018: 1-8 - [c43]Ching-An Cheng, Xinyan Yan, Nolan Wagener, Byron Boots:
Fast Policy Learning through Imitation and Reinforcement. UAI 2018: 845-855 - [c42]Ching-An Cheng, Mustafa Mukadam, Jan Issac, Stan Birchfield, Dieter Fox, Byron Boots, Nathan D. Ratliff:
RMPflow: A Computational Graph for Automatic Motion Policy Generation. WAFR 2018: 441-457 - [i40]Ching-An Cheng, Byron Boots:
Convergence of Value Aggregation for Imitation Learning. CoRR abs/1801.07292 (2018) - [i39]Ching-An Cheng, Xinyan Yan, Nolan Wagener, Byron Boots:
Fast Policy Learning through Imitation and Reinforcement. CoRR abs/1805.10413 (2018) - [i38]Wen Sun, Geoffrey J. Gordon, Byron Boots, J. Andrew Bagnell:
Dual Policy Iteration. CoRR abs/1805.10755 (2018) - [i37]Wen Sun, J. Andrew Bagnell, Byron Boots:
Truncated Horizon Policy Search: Combining Reinforcement Learning & Imitation Learning. CoRR abs/1805.11240 (2018) - [i36]Ching-An Cheng, Xinyan Yan, Evangelos A. Theodorou, Byron Boots:
Model-Based Imitation Learning with Accelerated Convergence. CoRR abs/1806.04642 (2018) - [i35]Joris Guérin, Byron Boots:
Improving Image Clustering With Multiple Pretrained CNN Feature Extractors. CoRR abs/1807.07760 (2018) - [i34]Joris Guérin, Olivier Gibaru, Eric Nyiri, Stéphane Thiery, Byron Boots:
Semantically Meaningful View Selection. CoRR abs/1807.10303 (2018) - [i33]Mustafa Mukadam, Jing Dong, Frank Dellaert, Byron Boots:
STEAP: simultaneous trajectory estimation and planning. CoRR abs/1807.10425 (2018) - [i32]Muhammad Asif Rana, Mustafa Mukadam, Seyed Reza Ahmadzadeh, Sonia Chernova, Byron Boots:
Learning Generalizable Robot Skills from Demonstrations in Cluttered Environments. CoRR abs/1808.00349 (2018) - [i31]Jing Dong, Byron Boots, Frank Dellaert, Ranveer Chandra, Sudipta N. Sinha:
Learning to Align Images using Weak Geometric Supervision. CoRR abs/1808.01424 (2018) - [i30]Hugh Salimbeni, Ching-An Cheng, Byron Boots, Marc Peter Deisenroth:
Orthogonally Decoupled Variational Gaussian Processes. CoRR abs/1809.08820 (2018) - [i29]Balakumar Sundaralingam, Alexander Sasha Lambert, Ankur Handa, Byron Boots, Tucker Hermans, Stan Birchfield, Nathan D. Ratliff, Dieter Fox:
Robust Learning of Tactile Force Estimation through Robot Interaction. CoRR abs/1810.06187 (2018) - [i28]Ching-An Cheng, Xinyan Yan, Nathan D. Ratliff, Byron Boots:
Predictor-Corrector Policy Optimization. CoRR abs/1810.06509 (2018) - [i27]Amirreza Shaban, Ching-An Cheng, Nathan Hatch, Byron Boots:
Truncated Back-propagation for Bilevel Optimization. CoRR abs/1810.10667 (2018) - [i26]Siddarth Srinivasan, Carlton Downey, Byron Boots:
Learning and Inference in Hilbert Space with Quantum Graphical Models. CoRR abs/1810.12369 (2018) - [i25]Brandon Amos, Ivan Dario Jimenez Rodriguez, Jacob Sacks, Byron Boots, J. Zico Kolter:
Differentiable MPC for End-to-end Planning and Control. CoRR abs/1810.13400 (2018) - [i24]Ching-An Cheng, Mustafa Mukadam, Jan Issac, Stan Birchfield, Dieter Fox, Byron Boots, Nathan D. Ratliff:
RMPflow: A Computational Graph for Automatic Motion Policy Generation. CoRR abs/1811.07049 (2018) - 2017
- [j2]Xinyan Yan, Vadim Indelman, Byron Boots:
Incremental sparse GP regression for continuous-time trajectory estimation and mapping. Robotics Auton. Syst. 87: 120-132 (2017) - [c41]Brian Hrolenok, Byron Boots, Tucker Hybinette Balch:
Sampling Beats Fixed Estimate Predictors for Cloning Stochastic Behavior in Multiagent Systems. AAAI 2017: 2022-2028 - [c40]Bo Dai, Niao He, Yunpeng Pan, Byron Boots, Le Song:
Learning from Conditional Distributions via Dual Embeddings. AISTATS 2017: 1458-1467 - [c39]Amirreza Shaban, Shray Bansal, Zhen Liu, Irfan Essa, Byron Boots:
One-Shot Learning for Semantic Segmentation. BMVC 2017 - [c38]Muhammad Asif Rana, Mustafa Mukadam, Seyed Reza Ahmadzadeh, Sonia Chernova, Byron Boots:
Towards Robust Skill Generalization: Unifying Learning from Demonstration and Motion Planning. CoRL 2017: 109-118 - [c37]Yunpeng Pan, Xinyan Yan, Evangelos A. Theodorou, Byron Boots:
Prediction under Uncertainty in Sparse Spectrum Gaussian Processes with Applications to Filtering and Control. ICML 2017: 2760-2768 - [c36]Wen Sun, Arun Venkatraman, Geoffrey J. Gordon, Byron Boots, J. Andrew Bagnell:
Deeply AggreVaTeD: Differentiable Imitation Learning for Sequential Prediction. ICML 2017: 3309-3318 - [c35]Mustafa Mukadam, Ching-An Cheng, Xinyan Yan, Byron Boots:
Approximately optimal continuous-time motion planning and control via Probabilistic Inference. ICRA 2017: 664-671 - [c34]Grady Williams, Nolan Wagener, Brian Goldfain, Paul Drews, James M. Rehg, Byron Boots, Evangelos A. Theodorou:
Information theoretic MPC for model-based reinforcement learning. ICRA 2017: 1714-1721 - [c33]Jing Dong, John Gary Burnham, Byron Boots, Glen C. Rains, Frank Dellaert:
4D crop monitoring: Spatio-temporal reconstruction for agriculture. ICRA 2017: 3878-3885 - [c32]Eric Huang, Mustafa Mukadam, Zhen Liu, Byron Boots:
Motion planning with graph-based trajectories and Gaussian process inference. ICRA 2017: 5591-5598 - [c31]Arun Venkatraman, Nicholas Rhinehart, Wen Sun, Lerrel Pinto, Martial Hebert, Byron Boots, Kris M. Kitani, James Andrew Bagnell:
Predictive-State Decoders: Encoding the Future into Recurrent Networks. NIPS 2017: 1172-1183 - [c30]Ching-An Cheng, Byron Boots:
Variational Inference for Gaussian Process Models with Linear Complexity. NIPS 2017: 5184-5194 - [c29]Carlton Downey, Ahmed Hefny, Byron Boots, Geoffrey J. Gordon, Boyue Li:
Predictive State Recurrent Neural Networks. NIPS 2017: 6053-6064 - [c28]Eric Huang, Ankit Bhatia, Byron Boots, Matthew T. Mason:
Exact Bounds on the Contact Driven Motion of a Sliding Object, With Applications to Robotic Pulling. Robotics: Science and Systems 2017 - [c27]Mustafa Mukadam, Jing Dong, Frank Dellaert, Byron Boots:
Simultaneous Trajectory Estimation and Planning via Probabilistic Inference. Robotics: Science and Systems 2017 - [i23]Mustafa Mukadam, Ching-An Cheng, Xinyan Yan, Byron Boots:
Approximately Optimal Continuous-Time Motion Planning and Control via Probabilistic Inference. CoRR abs/1702.07335 (2017) - [i22]Wen Sun, Arun Venkatraman, Geoffrey J. Gordon, Byron Boots, J. Andrew Bagnell:
Deeply AggreVaTeD: Differentiable Imitation Learning for Sequential Prediction. CoRR abs/1703.01030 (2017) - [i21]Jing Dong, Byron Boots, Frank Dellaert:
Sparse Gaussian Processes for Continuous-Time Trajectory Estimation on Matrix Lie Groups. CoRR abs/1705.06020 (2017) - [i20]Mustafa Mukadam, Jing Dong, Xinyan Yan, Frank Dellaert, Byron Boots:
Continuous-Time Gaussian Process Motion Planning via Probabilistic Inference. CoRR abs/1707.07383 (2017) - [i19]Amirreza Shaban, Shray Bansal, Zhen Liu, Irfan Essa, Byron Boots:
One-Shot Learning for Semantic Segmentation. CoRR abs/1709.03410 (2017) - [i18]Yunpeng Pan, Ching-An Cheng, Kamil Saigol, Keuntaek Lee, Xinyan Yan, Evangelos A. Theodorou, Byron Boots:
Agile Off-Road Autonomous Driving Using End-to-End Deep Imitation Learning. CoRR abs/1709.07174 (2017) - [i17]Arun Venkatraman, Nicholas Rhinehart, Wen Sun, Lerrel Pinto, Martial Hebert, Byron Boots, Kris M. Kitani, J. Andrew Bagnell:
Predictive-State Decoders: Encoding the Future into Recurrent Networks. CoRR abs/1709.08520 (2017) - [i16]Xinyan Yan, Krzysztof Choromanski, Byron Boots, Vikas Sindhwani:
Manifold Regularization for Kernelized LSTD. CoRR abs/1710.05387 (2017) - [i15]Alexander Lambert, Amirreza Shaban, Amit Raj, Zhen Liu, Byron Boots:
Deep Forward and Inverse Perceptual Models for Tracking and Prediction. CoRR abs/1710.11311 (2017) - [i14]Ching-An Cheng, Byron Boots:
Variational Inference for Gaussian Process Models with Linear Complexity. CoRR abs/1711.10127 (2017) - 2016
- [c26]Arun Venkatraman, Wen Sun, Martial Hebert, J. Andrew Bagnell, Byron Boots:
Online Instrumental Variable Regression with Applications to Online Linear System Identification. AAAI 2016: 2101-2107 - [c25]Yu Nishiyama, Amir Afsharinejad, Shunsuke Naruse, Byron Boots, Le Song:
The Nonparametric Kernel Bayes Smoother. AISTATS 2016: 547-555 - [c24]Wen Sun, Arun Venkatraman, Byron Boots, J. Andrew Bagnell:
Learning to Filter with Predictive State Inference Machines. ICML 2016: 1197-1205 - [c23]Mustafa Mukadam, Xinyan Yan, Byron Boots:
Gaussian Process Motion planning. ICRA 2016: 9-15 - [c22]Arun Venkatraman, Wen Sun, Martial Hebert, Byron Boots, J. Andrew Bagnell:
Inference Machines for Nonparametric Filter Learning. IJCAI 2016: 2074-2081 - [c21]Jie Tan, Zhaoming Xie, Byron Boots, C. Karen Liu:
Simulation-based design of dynamic controllers for humanoid balancing. IROS 2016: 2729-2736 - [c20]Ching-An Cheng, Byron Boots:
Incremental Variational Sparse Gaussian Process Regression. NIPS 2016: 4403-4411 - [c19]Jing Dong, Mustafa Mukadam, Frank Dellaert, Byron Boots:
Motion Planning as Probabilistic Inference using Gaussian Processes and Factor Graphs. Robotics: Science and Systems 2016 - [c18]Zita Marinho, Byron Boots, Anca D. Dragan, Arunkumar Byravan, Geoffrey J. Gordon, Siddhartha S. Srinivasa:
Functional Gradient Motion Planning in Reproducing Kernel Hilbert Spaces. Robotics: Science and Systems 2016 - [c17]Wen Sun, Roberto Capobianco, Geoffrey J. Gordon, J. Andrew Bagnell, Byron Boots:
Learning to Smooth with Bidirectional Predictive State Inference Machines. UAI 2016 - [i13]Zita Marinho, Anca D. Dragan, Arunkumar Byravan, Byron Boots, Siddhartha S. Srinivasa, Geoffrey J. Gordon:
Functional Gradient Motion Planning in Reproducing Kernel Hilbert Spaces. CoRR abs/1601.03648 (2016) - [i12]Bo Dai, Niao He, Yunpeng Pan, Byron Boots, Le Song:
Learning from Conditional Distributions via Dual Kernel Embeddings. CoRR abs/1607.04579 (2016) - [i11]